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Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Platypus: Quick, Cheap, and Powerful Refinement of LLMs

14 August 2023
Ariel N. Lee
Cole J. Hunter
Nataniel Ruiz
    ALM
    ObjD
ArXivPDFHTML

Papers citing "Platypus: Quick, Cheap, and Powerful Refinement of LLMs"

50 / 109 papers shown
Title
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Rana Muhammad Shahroz Khan
Dongwen Tang
Pingzhi Li
Kai Wang
Tianlong Chen
AI4CE
142
0
0
31 Mar 2025
Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models
Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models
Pin-Yu Chen
Han Shen
Payel Das
Tianyi Chen
50
0
0
24 Mar 2025
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Tingchen Fu
Fazl Barez
AAML
65
0
0
03 Mar 2025
Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation
Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation
Simin Chen
Yiming Chen
Zexin Li
Yifan Jiang
Zhongwei Wan
...
Dezhi Ran
Tianle Gu
Hao Li
Tao Xie
Baishakhi Ray
51
3
0
23 Feb 2025
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
Nurit Cohen-Inger
Yehonatan Elisha
Bracha Shapira
Lior Rokach
Seffi Cohen
ELM
94
0
0
11 Feb 2025
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Antoine Simoulin
Namyong Park
Xiaoyi Liu
Grey Yang
115
0
0
31 Jan 2025
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
Junyu Chen
Han Cai
Junsong Chen
E. Xie
Shang Yang
Haotian Tang
Muyang Li
Yaojie Lu
Song Han
DiffM
69
36
0
20 Jan 2025
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from
  Foundation Models
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
Yeming Wen
Swarat Chaudhuri
34
0
0
11 Nov 2024
PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment
PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment
Dongxu Liu
Bing Xu
Yinzhuo Chen
Bufan Xu
Wenpeng Lu
Muyun Yang
T. Zhao
MoE
41
1
0
02 Nov 2024
Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters
Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters
Yujin Potter
Shiyang Lai
Junsol Kim
James Evans
D. Song
45
12
0
31 Oct 2024
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
Yujuan Fu
Özlem Uzuner
Meliha Yetisgen
Fei Xia
59
3
0
24 Oct 2024
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
58
2
0
23 Oct 2024
Croc: Pretraining Large Multimodal Models with Cross-Modal Comprehension
Croc: Pretraining Large Multimodal Models with Cross-Modal Comprehension
Yin Xie
Kaicheng Yang
Ninghua Yang
Weimo Deng
Xiangzi Dai
...
Yumeng Wang
Xiang An
Yongle Zhao
Ziyong Feng
Jiankang Deng
MLLM
VLM
45
1
0
18 Oct 2024
PoisonBench: Assessing Large Language Model Vulnerability to Data
  Poisoning
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
Tingchen Fu
Mrinank Sharma
Philip H. S. Torr
Shay B. Cohen
David M. Krueger
Fazl Barez
AAML
47
7
0
11 Oct 2024
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+
  Interaction Trajectories
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
Yifan Song
Weimin Xiong
Xiutian Zhao
Dawei Zhu
Wenhao Wu
Ke Wang
Cheng Li
Wei Peng
Sujian Li
LLMAG
31
9
0
10 Oct 2024
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge
  with Curriculum Preference Learning
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
Xiyao Wang
Linfeng Song
Ye Tian
Dian Yu
Baolin Peng
Haitao Mi
Furong Huang
Dong Yu
LRM
52
9
0
09 Oct 2024
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan
Pingzhi Li
Sukwon Yun
Zhenyu Wang
S. Nirjon
Chau-Wai Wong
Tianlong Chen
KELM
43
2
0
08 Oct 2024
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
Xinyu Zhao
Guoheng Sun
Ruisi Cai
Yukun Zhou
Pingzhi Li
...
Binhang Yuan
Hongyi Wang
Ang Li
Zhangyang Wang
Tianlong Chen
MoMe
ALM
28
3
0
07 Oct 2024
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Yi Cheng
Xiao Liang
Yeyun Gong
Wen Xiao
Song Wang
...
Wenjie Li
Jian Jiao
Qi Chen
Peng Cheng
Wayne Xiong
HILM
56
1
0
02 Oct 2024
Exploring Language Model Generalization in Low-Resource Extractive QA
Exploring Language Model Generalization in Low-Resource Extractive QA
Saptarshi Sengupta
Wenpeng Yin
Preslav Nakov
Shreya Ghosh
Suhang Wang
27
0
0
27 Sep 2024
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and
  Adaptive Disambiguate based Efficient Tree Search
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search
Linzhuang Sun
Hao Liang
Jingxuan Wei
Bihui Yu
Conghui He
Zenan Zhou
Wentao Zhang
21
4
0
26 Sep 2024
Programming Refusal with Conditional Activation Steering
Programming Refusal with Conditional Activation Steering
Bruce W. Lee
Inkit Padhi
K. Ramamurthy
Erik Miehling
Pierre L. Dognin
Manish Nagireddy
Amit Dhurandhar
LLMSV
105
13
0
06 Sep 2024
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective
  Alignment with Contrastive Prompts
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
Tingchen Fu
Yupeng Hou
Julian McAuley
Rui Yan
38
3
0
09 Aug 2024
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback
Ryan Aponte
Ryan A. Rossi
Shunan Guo
Franck Dernoncourt
Tong Yu
Xiang Chen
Subrata Mitra
Nedim Lipka
OffRL
28
0
0
05 Aug 2024
Quality Assured: Rethinking Annotation Strategies in Imaging AI
Quality Assured: Rethinking Annotation Strategies in Imaging AI
Tim Radsch
Annika Reinke
V. Weru
M. Tizabi
Nicholas Heller
Fabian Isensee
Annette Kopp-Schneider
Lena Maier-Hein
35
1
0
24 Jul 2024
Scaling Granite Code Models to 128K Context
Scaling Granite Code Models to 128K Context
Matt Stallone
Vaibhav Saxena
Leonid Karlinsky
Bridget McGinn
Tim Bula
...
Rogerio Feris
Nirmit Desai
David D. Cox
Ruchir Puri
Rameswar Panda
42
4
0
18 Jul 2024
Key-Point-Driven Mathematical Reasoning Distillation of Large Language
  Model
Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model
Xunyu Zhu
Jian Li
Can Ma
Weiping Wang
LRM
38
0
0
14 Jul 2024
Mitigating Catastrophic Forgetting in Language Transfer via Model
  Merging
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging
Anton Alexandrov
Veselin Raychev
Mark Niklas Muller
Ce Zhang
Martin Vechev
Kristina Toutanova
MoMe
CLL
KELM
42
13
0
11 Jul 2024
DotaMath: Decomposition of Thought with Code Assistance and
  Self-correction for Mathematical Reasoning
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
Chengpeng Li
Guanting Dong
Mingfeng Xue
Ru Peng
Xiang Wang
Dayiheng Liu
LRM
ReLM
28
11
0
04 Jul 2024
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine
  Translation and Summarization Evaluation
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
Christoph Leiter
Steffen Eger
34
8
0
26 Jun 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability
  through Noisy Training
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
Yixuan Wang
Xianzhen Luo
Fuxuan Wei
Yijun Liu
Qingfu Zhu
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
37
3
0
25 Jun 2024
How Many Parameters Does it Take to Change a Light Bulb? Evaluating
  Performance in Self-Play of Conversational Games as a Function of Model
  Characteristics
How Many Parameters Does it Take to Change a Light Bulb? Evaluating Performance in Self-Play of Conversational Games as a Function of Model Characteristics
Nidhir Bhavsar
Jonathan Jordan
Sherzod Hakimov
David Schlangen
26
0
0
20 Jun 2024
CityGPT: Empowering Urban Spatial Cognition of Large Language Models
CityGPT: Empowering Urban Spatial Cognition of Large Language Models
Jie Feng
Yuwei Du
Tianhui Liu
Siqi Guo
Yuming Lin
Yong Li
45
13
0
20 Jun 2024
Data Contamination Can Cross Language Barriers
Data Contamination Can Cross Language Barriers
Feng Yao
Yufan Zhuang
Zihao Sun
Sunan Xu
Animesh Kumar
Jingbo Shang
42
6
0
19 Jun 2024
Nemotron-4 340B Technical Report
Nemotron-4 340B Technical Report
Nvidia
:
Bo Adler
Niket Agarwal
Ashwath Aithal
...
Jimmy Zhang
Jing Zhang
Vivienne Zhang
Yian Zhang
Chen Zhu
49
56
0
17 Jun 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Hongyu Li
Liang Ding
Meng Fang
Dacheng Tao
CLL
KELM
52
16
0
07 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu
Shuhao Guan
Derek Greene
Mohand-Tahar Kechadi
ELM
ALM
38
39
0
06 Jun 2024
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge
  Devices
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
Ruiyang Qin
Dancheng Liu
Zheyu Yan
Zhaoxuan Tan
Zixuan Pan
Zhenge Jia
Meng Jiang
Ahmed Abbasi
Jinjun Xiong
Yiyu Shi
59
10
0
06 Jun 2024
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
67
11
0
30 May 2024
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and
  Provable Convergence
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
Ionut-Vlad Modoranu
M. Safaryan
Grigory Malinovsky
Eldar Kurtic
Thomas Robert
Peter Richtárik
Dan Alistarh
MQ
39
12
0
24 May 2024
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via
  Alignment Tax Reduction
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction
Tingchen Fu
Deng Cai
Lemao Liu
Shuming Shi
Rui Yan
MoMe
52
13
0
22 May 2024
Data Contamination Calibration for Black-box LLMs
Data Contamination Calibration for Black-box LLMs
Wen-song Ye
Jiaqi Hu
Liyao Li
Haobo Wang
Gang Chen
Junbo Zhao
40
6
0
20 May 2024
Granite Code Models: A Family of Open Foundation Models for Code
  Intelligence
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Mayank Mishra
Matt Stallone
Gaoyuan Zhang
Yikang Shen
Aditya Prasad
...
Amith Singhee
Nirmit Desai
David D. Cox
Ruchir Puri
Rameswar Panda
AI4TS
56
55
0
07 May 2024
Hippocrates: An Open-Source Framework for Advancing Large Language
  Models in Healthcare
Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare
Emre Can Acikgoz
Osman Batur .Ince
Rayene Bench
Arda Anil Boz
.Ilker Kesen
Aykut Erdem
Erkut Erdem
LM&MA
34
10
0
25 Apr 2024
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of
  Theories, Detection Methods, and Opportunities
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
Xiaomin Yu
Yezhaohui Wang
Yanfang Chen
Zhen Tao
Dinghao Xi
Shichao Song
Simin Niu
Zhiyu Li
67
8
0
25 Apr 2024
CrossIn: An Efficient Instruction Tuning Approach for Cross-Lingual Knowledge Alignment
CrossIn: An Efficient Instruction Tuning Approach for Cross-Lingual Knowledge Alignment
Geyu Lin
Bin Wang
Zhengyuan Liu
Nancy F. Chen
34
7
0
18 Apr 2024
MobileNetV4 - Universal Models for the Mobile Ecosystem
MobileNetV4 - Universal Models for the Mobile Ecosystem
Danfeng Qin
Chas Leichner
M. Delakis
Marco Fornoni
Shixin Luo
...
Berkin Akin
Vaibhav Aggarwal
Tenghui Zhu
Daniele Moro
Andrew G. Howard
MQ
30
86
0
16 Apr 2024
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical
  Reasoning in Large Language Models
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
Hyeonwoo Kim
Gyoungjin Gim
Yungi Kim
Jihoo Kim
Byungju Kim
Wonseok Lee
Chanjun Park
ReLM
LRM
34
1
0
05 Apr 2024
Exploring the Mystery of Influential Data for Mathematical Reasoning
Exploring the Mystery of Influential Data for Mathematical Reasoning
Xinzhe Ni
Yeyun Gong
Zhibin Gou
Yelong Shen
Yujiu Yang
Nan Duan
Weizhu Chen
38
10
0
01 Apr 2024
Token-Efficient Leverage Learning in Large Language Models
Token-Efficient Leverage Learning in Large Language Models
Yuanhao Zeng
Min Wang
Yihang Wang
Yingxia Shao
34
0
0
01 Apr 2024
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